Faire is using machine learning to change wholesale and help local retailers compete with Amazon and big box stores.  Our experienced data scientists and machine learning engineers are tackling recommendations, ranking, search, logistics, underwriting, and more - all with the goal of helping local retail thrive.

Job Description

The Data Science team owns a wide variety of algorithms and models that power the marketplace. We care about building machine learning models that help our customers thrive. The data science team helps answer questions like; How do we underwrite retailers with thin files? How do we optimally assign term limits to Faire retailers? How to minimize the risk of defaults while maximizing the share of wallet growth driven by net terms? What data sources should we invest in to improve the performance of our credit models?

We’re looking for someone who’s comfortable working on the cutting edge of machine learning research. You’re happy working autonomously and delivering results without micromanagement. You wake up ready to take a problem end-to-end, dive into the guts of our information-rich databases, and produce actionable insights. You can’t wait to push the boundaries and discover the next big thing, then share it with your peers. You are, or will be, world-class in credit risk and help lead the wider data community. Faire will soon be known as a top destination for data scientists and machine learning, and you will help take us there!

You’re excited about this role because…

  • You’ll be able to work on cutting edge credit underwriting problems combining a wide variety of data about our retailers, makers and products
  • You are passionate about solving problems in the FinTech space with innovative machine learning techniques and using alternate data sources for risk management
  • You want to use machine learning to help local retailers and independent makers succeed
  • You want to be a foundational member of a fast-growing company

Qualifications

  • 3+ years of industry experience in developing, testing, and validating credit risk models in the financial services industry
  • Experience applying with either boosted trees models, decision trees, or other models to solve credit underwriting problems
  • Strong skills in statistics, probability, and/or machine learning
  • A track record of solving problems using data science. The tooling/language isn’t important. (e.g., numpy, pandas, scikit-learn, R, etc.)
  • Experience with relational databases and SQL
  • Relentless resourcefulness and the ability to thrive in a startup -- you’re willing to do what needs to be done for the success of your team
  • The ability to self-regulate and get stuff done with minimal direct supervision
  • Strong communication skills and the ability to work with others in a closely collaborative team environment.
  • Nice to have: 
    • MSc or PhD in any mathematical or statistical subject, e.g.: mathematics, statistics, computer science, astrophysics, neuroscience, operations research, economics, any of the physical sciences
    • Experience with capital markets reporting and credit line management is a plus

What We Offer:

  • We’re growing fast. You will get in on the ground floor of something that’s going to be special.
  • We’re funded by the best VCs in the world.
  • Our founding team is experienced and led the development of one of the top 25 apps in the US App Store (Square Cash). 
  • Great technology stack. It’s fun to work with the best tools and the latest software.
  • The business makes sense. It’s straightforward, provides clear value to both retailers and makers. You get to help change an entire industry for the better.
  • It’s beautiful. Work on something that’s well-designed, following the footsteps of Apple and Square.

About Faire

Faire is an innovative online marketplace that uses machine learning to match local retailers with the makers of products that uniquely fit their stores. We are using the power of technology to connect makers and boutiques from all over the world, building a thriving community of over 50,000 small business owners.

Our mission is to empower entrepreneurs to chase their dreams. We believe entrepreneurship is a calling. It’s a way of life that offers people a level of autonomy and fulfillment that’s become difficult to find elsewhere in our economy. Most of our customers have left behind jobs they hated to take a chance on themselves. We want to make sure their boldness and self-belief gets rewarded.

This mission also extends to the way we are building the company. Every member of our team is an owner of the business and taking part in the founding process.

Faire is being built for entrepreneurs, by entrepreneurs.

Apply for this Job

* Required
  
  


U.S. Equal Opportunity Employment Information (Completion is voluntary)

Individuals seeking employment at Faire are considered without regards to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, or sexual orientation. You are being given the opportunity to provide the following information in order to help us comply with federal and state Equal Employment Opportunity/Affirmative Action record keeping, reporting, and other legal requirements.

Completion of the form is entirely voluntary. Whatever your decision, it will not be considered in the hiring process or thereafter. Any information that you do provide will be recorded and maintained in a confidential file.

Race & Ethnicity Definitions

If you believe you belong to any of the categories of protected veterans listed below, please indicate by making the appropriate selection. As a government contractor subject to Vietnam Era Veterans Readjustment Assistance Act (VEVRAA), we request this information in order to measure the effectiveness of the outreach and positive recruitment efforts we undertake pursuant to VEVRAA. Classification of protected categories is as follows:

A "disabled veteran" is one of the following: a veteran of the U.S. military, ground, naval or air service who is entitled to compensation (or who but for the receipt of military retired pay would be entitled to compensation) under laws administered by the Secretary of Veterans Affairs; or a person who was discharged or released from active duty because of a service-connected disability.

A "recently separated veteran" means any veteran during the three-year period beginning on the date of such veteran's discharge or release from active duty in the U.S. military, ground, naval, or air service.

An "active duty wartime or campaign badge veteran" means a veteran who served on active duty in the U.S. military, ground, naval or air service during a war, or in a campaign or expedition for which a campaign badge has been authorized under the laws administered by the Department of Defense.

An "Armed forces service medal veteran" means a veteran who, while serving on active duty in the U.S. military, ground, naval or air service, participated in a United States military operation for which an Armed Forces service medal was awarded pursuant to Executive Order 12985.


Form CC-305

OMB Control Number 1250-0005

Expires 05/31/2023

Voluntary Self-Identification of Disability

Why are you being asked to complete this form?

We are a federal contractor or subcontractor required by law to provide equal employment opportunity to qualified people with disabilities. We are also required to measure our progress toward having at least 7% of our workforce be individuals with disabilities. To do this, we must ask applicants and employees if they have a disability or have ever had a disability. Because a person may become disabled at any time, we ask all of our employees to update their information at least every five years.

Identifying yourself as an individual with a disability is voluntary, and we hope that you will choose to do so. Your answer will be maintained confidentially and not be seen by selecting officials or anyone else involved in making personnel decisions. Completing the form will not negatively impact you in any way, regardless of whether you have self-identified in the past. For more information about this form or the equal employment obligations of federal contractors under Section 503 of the Rehabilitation Act, visit the U.S. Department of Labor’s Office of Federal Contract Compliance Programs (OFCCP) website at www.dol.gov/ofccp.

How do you know if you have a disability?

You are considered to have a disability if you have a physical or mental impairment or medical condition that substantially limits a major life activity, or if you have a history or record of such an impairment or medical condition.

Disabilities include, but are not limited to:

  • Autism
  • Autoimmune disorder, for example, lupus, fibromyalgia, rheumatoid arthritis, or HIV/AIDS
  • Blind or low vision
  • Cancer
  • Cardiovascular or heart disease
  • Celiac disease
  • Cerebral palsy
  • Deaf or hard of hearing
  • Depression or anxiety
  • Diabetes
  • Epilepsy
  • Gastrointestinal disorders, for example, Crohn's Disease, or irritable bowel syndrome
  • Intellectual disability
  • Missing limbs or partially missing limbs
  • Nervous system condition for example, migraine headaches, Parkinson’s disease, or Multiple sclerosis (MS)
  • Psychiatric condition, for example, bipolar disorder, schizophrenia, PTSD, or major depression

1Section 503 of the Rehabilitation Act of 1973, as amended. For more information about this form or the equal employment obligations of Federal contractors, visit the U.S. Department of Labor's Office of Federal Contract Compliance Programs (OFCCP) website at www.dol.gov/ofccp.

PUBLIC BURDEN STATEMENT: According to the Paperwork Reduction Act of 1995 no persons are required to respond to a collection of information unless such collection displays a valid OMB control number. This survey should take about 5 minutes to complete.